# GPUPerHour vs LLM Pricing GPUPerHour records 28,718 monthly visits with +25.3% month-over-month growth and Free pricing. LLM Pricing records 0 monthly visits with 0% growth and Free pricing. | Metric | [GPUPerHour](https://openaitools.app/tool/gpuperhour) | [LLM Pricing](https://openaitools.app/tool/llm-pricing) | | :--- | :--- | :--- | | Website URL | https://gpuperhour.com | https://llm-price.com | | Categories | AI Developer Tools, AI Tools Directory | Large Language Models (LLMs), AI Models, AI Tools Directory | | Pricing Model | Free | Free | | Monthly Visits | 28,718 | 0 | | MoM Growth Rate | +25.3% | 0% | | Primary Market | United States | Global | | Direct Visits | 11,398 | 0 | | Review Score | 4.4 | 4.5 | | Saved Count | 4 | 1 | | Supported Platforms | Website | Website | ## GPUPerHour GPUPerHour solves a narrow but expensive problem: cloud GPU pricing is scattered across dozens of provider dashboards, in different units and with different availability. The site periodically scrapes the public pricing and inventory endpoints of 31 cloud GPU providers, normalises each listing to a price per GPU per hour (dividing a multi-GPU instance price by its GPU count) and tags it with its pricing type and security tier. The current-price summary deliberately uses only secure on-demand offers observed within roughly 15 minutes of the last refresh, excluding spot, reserved and peer-to-peer marketplace listings because those prices are not directly comparable. The result is a single live table covering H100 SXM5 and PCIe, H200, B200, B300, A100 80GB and 40GB, L40S, RTX PRO 6000, RTX 5090, RTX 4090 and RTX A6000, alongside the provider, a 30-day historical catalog average and the number of providers with stock. A daily price index with CSV downloads lets you track how pricing moves over time, while buying guides and hardware explainers cover practical topics such as comparing like-for-like GPUs, choosing by VRAM for a workload, accounting for storage and egress, and renting by the hour. The site also points to a companion console, DeployGPU, for provisioning on supported providers from one place. The key caveat is stated openly on the page: offer counts describe configurations, not the number of physical GPUs bookable, and availability can change before you complete a booking. Prices are per GPU-hour but providers bill for the whole instance, and storage, network transfer and commitment terms affect the final bill. GPUPerHour is a research and comparison layer, not a hosting provider itself. **Pricing & Plans:** Free to use as a price-comparison and research resource; GPUPerHour does not sell GPU capacity itself. The prices shown are third-party provider rates for secure on-demand instances, per GPU-hour, and a companion service (DeployGPU) offers deployment on supported providers. - **31-provider live price table:** Every tracked offer is normalised to a price per GPU-hour and shown with its provider, pricing type and security tier. - **Cheapest-offer summary:** A market snapshot highlights the lowest current secure on-demand price for each popular GPU model, from H100 and H200 to RTX 4090. - **Daily price index and CSV:** Historical catalog averages and downloadable daily data let you see how pricing for a given GPU has moved over the last 30 days. - **Buying guides and explainers:** Practical articles cover comparing like-for-like GPUs, choosing by VRAM, estimating the full bill with storage and egress, and renting by the hour. - **DeployGPU console:** A linked console lets you deploy on supported providers from a single place once you have picked an offer. **Strengths:** Aggregates 31 providers into comparable per-GPU-hour prices; Clearly states its methodology and excludes non-comparable spot and P2P listings; Free to use, with daily historical data and CSV downloads; Buying guides cover the full bill, not just the headline rate **Limitations:** Only covers providers whose pricing and inventory endpoints are publicly scrapable; The current-price view deliberately excludes spot and reserved capacity, which are often cheaper; It is a comparison resource, so you still create accounts and provision instances with the provider itself [Profile (Markdown)](https://openaitools.app/tool/gpuperhour.md) ## LLM Pricing Pricing for language model APIs is genuinely hard to compare. Every provider quotes rates differently, input and output tokens are priced apart, batch and standard tiers diverge, and new models appear weekly. LLM Pricing turns that into a single sortable table covering hundreds of models with released date, context window, input cost, output cost and total cost. Beyond the table there is a practical estimator: enter your expected input and output token volumes and the page calculates spend per model, so you can sanity-check whether a cheaper-per-token model is actually cheaper for your workload. Filters by provider and search keep the list navigable even with hundreds of entries. The page now lives under AILesson, a learning platform that bundles AI courses, a prompt library and a free AI playground alongside the pricing data. The catalog refreshes on a roughly six-hour cache cycle from an upstream model catalog, and the site itself notes that rates change over time and should be confirmed with the provider before purchase. **Pricing & Plans:** Free to use; no account or subscription is required to browse the pricing table or use the estimator. - **Hundreds of models in one table:** Compare released date, context length, input cost, output cost and total cost across 400+ models. - **Interactive cost estimator:** Enter your expected input and output token volumes to see estimated spend per model. - **Provider and modality filters:** Narrow the list by provider such as OpenAI, Anthropic, Google or DeepSeek, and by supported input modalities. - **Regular price refreshes:** Model specifications and prices refresh on a roughly six-hour cache cycle when the source is available. - **Educational context:** Sits alongside AILesson courses, prompt recipes and a free AI playground for hands-on testing. **Strengths:** Covers a very large number of models, including smaller and open-weight providers; Input, output and total costs shown together rather than buried in separate docs; Free with no sign-up needed to browse; Estimator turns prices into a concrete cost for your own usage **Limitations:** Prices are cached and can lag the provider's live pricing page; No historical price charts or alerts when rates change; Now part of the AILesson brand, so the surrounding site is course-oriented rather than purely a comparison tool [Profile (Markdown)](https://openaitools.app/tool/llm-pricing.md) ## Frequently Asked Questions ### How do GPUPerHour and LLM Pricing compare in monthly traffic? GPUPerHour has 28,718 monthly visits, while LLM Pricing has 0. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? GPUPerHour has a month-over-month growth rate of +25.3%; LLM Pricing has 0%. ### How does pricing compare? GPUPerHour: Free. Free to use as a price-comparison and research resource; GPUPerHour does not sell GPU capacity itself. The prices shown are third-party provider rates for secure on-demand instances, per GPU-hour, and a companion service (DeployGPU) offers deployment on supported providers. LLM Pricing: Free. Free to use; no account or subscription is required to browse the pricing table or use the estimator. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [mcp.so](https://openaitools.app/tool/mcp-server) | 286,704 | -3% | Free | Discover and share Model Context Protocol servers for AI agents and coding tools | [.md](https://openaitools.app/tool/mcp-server.md) | | 2 | [Stork](https://openaitools.app/tool/stork) | 201,544 | +2.3% | Free | AI 工具目录、深度评测与每日 AI 新闻 | [.md](https://openaitools.app/tool/stork.md) | | 3 | [Models.dev](https://openaitools.app/tool/models-dev) | 200,451 | -3.9% | Free | Open-source database of AI models, prices and capabilities | [.md](https://openaitools.app/tool/models-dev.md) | | 4 | [Easy With AI](https://openaitools.app/tool/easywithai-com) | 119,734 | -2.7% | Freemium, Free Trial, Free | A hand-curated directory for discovering AI tools and resources | [.md](https://openaitools.app/tool/easywithai-com.md) | | 5 | [ToolCenter](https://openaitools.app/tool/toolcenter) | 66,647 | +3.2% | Free | A curated directory of thousands of AI tools, updated daily. | [.md](https://openaitools.app/tool/toolcenter.md) | | 6 | [AI Top100 (AITOP100)](https://openaitools.app/tool/ai-top100) | 51,606 | -22.7% | Free | Chinese AI tools directory plus AIGC contests, courses and news | [.md](https://openaitools.app/tool/ai-top100.md) | | 7 | [InfraBase.ai](https://openaitools.app/tool/infrabase-ai) | 39,072 | -13.6% | Free | Hand-verified directory of AI infrastructure tools | [.md](https://openaitools.app/tool/infrabase-ai.md) | | 8 | [All GPTs](https://openaitools.app/tool/all-gpts) | 32,569 | +9.3% | Free | A curated directory of 30,000+ custom GPTs and AI agents | [.md](https://openaitools.app/tool/all-gpts.md) | | 9 | [ToolDirectory.AI](https://openaitools.app/tool/tooldirectory-ai) | 30,123 | +64.9% | Freemium | An editor-reviewed directory of 2,888+ AI tools, dated and marked live or retired | [.md](https://openaitools.app/tool/tooldirectory-ai.md) | | 10 | [FindyourAI](https://openaitools.app/tool/findyourai) | 10,982 | +14.3% | Free | Choose the right AI tool in minutes, not hours | [.md](https://openaitools.app/tool/findyourai.md) | --- Source: https://openaitools.app/compare/gpuperhour-vs-llm-pricing More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)